Method for determining a pitching movement in a camera installed in a vehicle, and method for controlling a light emission from at least one headlamp on a vehicle

Abstract

The invention proposes a method (500) for determining a pitching movement in a camera installed in a vehicle. The method (500) has a step of first image gradient data being produced (510) from a first camera image, wherein the first image gradient data represent a brightness alteration for adjacent pixels in the first camera image along a vertical axis of the first camera image, and of second image gradient data being produced (510) from a second camera image, recorded subsequently to the first camera image, wherein the second image gradient data represent a brightness alteration for adjacent pixels in the second camera image along a vertical axis of the second camera image. The method (500) also has a step of at least one image displacement value, which represents displacement of a pixel in the second camera image relative to a corresponding pixel in the first camera image, being generated (520). In this case, said at least one image displacement value is generated (520) by using the first image gradient data and the second image gradient data. The method (500) also has a step of a pitching movement being ascertained (530) on the basis of the at least one image displacement value in order to determine the pitching movement of the camera.

Description

technical field [0001] The invention relates to a method for determining a pitch movement of a camera installed in a vehicle, a method for controlling the light emission of at least one headlight of a vehicle, a device designed to carry out the steps of such a method The device and a computer program product have a program code which is stored on a machine-readable carrier and which implements the method when said program is executed on the device. Background technique [0002] One of the most important safety functions available in modern video-based driver assistance systems is the tracking or tracking and position estimation of preceding vehicles or obstacles in the direction of travel in order to Alternatively, automatic full braking of the vehicle takes place in the event of a reduced distance. The accuracy of the tracking and the distance to the vehicle or obstacle mainly depends on the own motion, that is, the motion parameters of the camera at the specific moment. ...

AI Technical Summary

Problems solved by technology

It can also be observed that the sensitivity for pitch angle (Nickwinkel or Pitch-Winkel) is very high and small changes in pitch angle can cause large errors in pitch estimation

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